Ying Xiao
Impact in
- Nephrology top 5%
- Chronic Kidney Disease and Diabetes
-
- MicroRNA in disease regulation
- Cancer-related molecular mechanisms research
Papers in
-
- TGF-β signaling in diseases 8
- Renal and related cancers 7
- Connective Tissue Growth Factor Research 3
- Nephrology 10
- Chronic Kidney Disease and Diabetes 6
- Parathyroid Disorders and Treatments 5
- Co-authors
- Mingjun Shi (31 shared papers)Bing Guo (27 shared papers)Yuanyuan Wang (9 shared papers)Yüxia Zhou (15 shared papers)Rui Yan (6 shared papers)Lingling Liu (9 shared papers)Xingcheng Zhou (8 shared papers)Lirong Liu (4 shared papers)
- Journals
- Life Sciences (3 papers)Frontiers in Pharmacology (3 papers)The FASEB Journal (2 papers)PLoS ONE (2 papers)Diabetes (2 papers)
- Partner nations
- ChinaUnited States
In The Last Decade
Ying Xiao
39 papers receiving 773 citations
Peers
Comparison fields: 5 of 83
- Nephrology 169
- Cancer Research 127
- Geriatrics and Gerontology 22
- Clinical Biochemistry 44
- Molecular Biology 337
Countries citing papers authored by Ying Xiao
This map shows the geographic impact of Ying Xiao's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Ying Xiao with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ying Xiao more than expected).
Fields of papers citing papers by Ying Xiao
This network shows the impact of papers produced by Ying Xiao. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Ying Xiao. The network helps show where Ying Xiao may publish in the future.
Co-authors
The 25 scholars most cited alongside Ying Xiao, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 41 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 79 | |
| 2 | 2023 | 71 | |
| 3 | 2019 | 70 | |
| 4 | 2019 | 46 | |
| 5 | 2016 | 46 | |
| 6 | 2018 | 34 | |
| 7 | 2022 | 30 | |
| 8 | 2022 | 28 | |
| 9 | 2016 | 27 | |
| 10 | 2022 | 26 | |
| 11 | 2023 | 26 | |
| 12 | 2020 | 26 | |
| 13 | 2019 | 24 | |
| 14 | 2019 | 24 | |
| 15 | 2022 | 21 | |
| 16 | 2017 | 19 | |
| 17 | 2020 | 19 | |
| 18 | 2012 | 18 | |
| 19 | 2021 | 18 | |
| 20 | 2023 | 13 |
About Ying Xiao
Ying Xiao is a scholar working on Molecular Biology, Nephrology, Epidemiology, Cancer Research and Surgery, having authored 41 papers that have together received 783 indexed citations. Recurring topics across this work include TGF-β signaling in diseases (8 papers), Renal and related cancers (7 papers), Chronic Kidney Disease and Diabetes (6 papers), Parathyroid Disorders and Treatments (5 papers), Autophagy in Disease and Therapy (4 papers), Connective Tissue Growth Factor Research (3 papers), MicroRNA in disease regulation (3 papers) and Cancer, Hypoxia, and Metabolism (3 papers). The work is most often cited by research in Nephrology (169 citations), Cancer Research (127 citations), Geriatrics and Gerontology (22 citations), Clinical Biochemistry (44 citations) and Molecular Biology (337 citations). Ying Xiao has collaborated with scholars based in China and United States. Frequent co-authors include Mingjun Shi, Bing Guo, Yuanyuan Wang, Yüxia Zhou, Rui Yan, Lingling Liu, Xingcheng Zhou, Lirong Liu, Xingmei Liu and Fan Zhang. Their work appears in journals such as Life Sciences, Frontiers in Pharmacology, The FASEB Journal, PLoS ONE and Diabetes.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.